Automated Fingerprint Identification System

Sept. 24, 2016 - PRLog -- About:

Ultra speed verification (1:1) and identification (1:n) of fingerprints using genetic programming.

Project of Biometric Engine development started out as a security application of my research in automatic object recognition, especially for Automated Fingerprints Identification Systems (AFIS).

My research is focused to Genetic Programming based feature for fingerprint classification. Genetic Programming is used in a novel manner to discover composite operators and associated features that are evolved from combinations of primitive operators and primitive features. Primitive features, based on the orientation image, allow the incorporation of domain knowledge into the evolutionary computational process.

A biometric engine for Automated Fingerprints Identification System is the core program that controlls the different hardware and components of a biometric system. The biometric engine controls the enrollment, capture, extraction, comparison and matching of biometric data from a user.

It is based on a set of special algorithms that facilitate the steps in the recognition process, as well as the intermediary processes like image enhancement, determining quality and the extraction of distinguishing features.

It is the efficiency of this engine that dictates the quality of the system. Even with state of the art hardware, if the biometric engine is not functioning correctly, then the system will get many errors and false readings or identifications.

The biometric engine will also enhance the data taken, enhancing images and clearing out noise so that what is left is clear data. Thus, the data becomes easy to match whenever an enrollee needs to be authenticated.

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Link to the project: http://kck.st/2cpECzL